Conferences  >  Informatics  >  Natural Language Processing, Computational Linguistics

National Higher School of Computer Science and Systems Analysis in Rabat

The International Conference on Arabic Language Processing ICALP2023 aims to be one of the most important and leading conference on Arabic NLP: all branches of NLP related to Arabic or Semitic languages are welcomed. The conference focuses on all approaches from theoretical models to industrial applications. ICALP2023 will be held at ENSIAS (The National Higher School of Computer Science and Systems Analysis). We look forward to welcoming you to a scientifically inspiring event and we hope that ICALP2023 will be a highly positive scientific experience for all the participants. Our keynote speakers will shed light on a wide spectrum of research and applications as well as promote cross-pollination of research ideas and interests in Arabic Language Processing and related applications.

The organizing committee;     Email: icalp.v2023@gmail.com

NLP; Arabic dialect processing; Automatic speech recognition; Building ontologies; Code Switching phenomena ;Comparative Linguistic Studies; Cross-Language Applications; Deep Learning for Arabic applications ; Digital Humanities ;End-to-End DNN ; Generation and Analysis; Human Machine-Dialogue ; Information retrieval on Social Networks; Linguistic Resources for Arabic NLP Applications;

Asia Society of Researchers

2023 7th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2023) will bring together researchers, which devoted their work to progress in the above described timely tasks. It will be held in Seoul, South Korea on December 15-17, 2023.

Email: adam@asr.org

Automated knowledge aquisition and representation; Natural language understanding; Topic recognition and topic tracking, subject indexing; Event and anomaly detection - Sentiment analysis; Opinion, personality and emotion detection in social media; Author identification and plagiarism detection Document summerisation and identification; Similarity analysis, clustering, hierarchic clustering; Methods for Classification and Categorisation; Visualisation of NLP and IR results;

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Peer review is the best mechanism for assessing scientific validity of new research that we have so far. But this mechanism has many well-known issues, such as the different incentives of the authors and reviewers, difficulties with preserving reviewer and author anonymity, confirmation and other cognitive biases that even researchers fall prey to. These intrinsic problems are exacerbated in interdisciplinary fields like Natural Language Processing (NLP) and Machine Learning (ML), where groups of researchers may vary so much in their methodology, terminology, and research agendas, that sometimes they have trouble even recognizing each other's contributions as "research". This Dagstuhl Seminar will cover a range of topics related to organization of peer review in NLP and ML

Figurative and non-literal language, such as metaphor, metonymy, or personification, poses a special challenge for computational analysis, since these expressions are not used with their usual, ordinary meanings, as represented in corpus data or recorded in lexical resources, but with different, derived meanings. We aim to bring together computational linguists working on the automatic analysis of non-literal language. A special focus will be on non-conventionalized usages, such as novel metaphors or innovative forms of metonymy. In addition, we are particularly interested in approaches applicable to languages other than English, for example low-resource languages or domains.

Computational approaches to metaphor & figurative language

Tsinghua University – University of Amsterdam Joint Research Centre for Logic

The idea behind the TLLM workshops is to bring together logicians and linguists around a specific theme of common interest. Thus, we welcome contributions on any general or particular aspect of the propositional connectives in logic or language. Below are just a few examples of possible topics for this workshop.

Mathematical Logic and Foundations,    Linguistics

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

The human voice is able to produce a very rich set of different sounds, making it the single most important channel for communication human-to-human, and also potentially for human-computer interaction. Spoken communication can be thought of as a stack of layered transport protocols that includes language, speech, voice, and sound. In this Dagstuhl seminar, we will be concerned with the voice and its function as a transducer from neurally encoded speech patterns to sound. This very complex mechanism remains insufficiently explained both in terms of analysing voice sounds, as for example in medical assessment of vocal function, and of simulating them from first principles, as in talking or singing machines.

Human-Computer Interaction, User Experience,    Multimedia, Computer Graphics and Visualization, Games

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Conversational Agents (CA) as frontends to Information Retrieval (IR) and Recommender Systems (RS) become more popular in everyday life, with a wider range of users and usages. The latest developments in Large Language Models (LLMs) will have tremendous consequences, especially for the workplace and education. In this Dagstuhl Perspectives Workshop, we want to focus on the evaluation of these conversational systems, as appropriate methods are still missing. The quality of these systems is limited in terms of personalization, veracity and correctness, bias, transparency, trustworthiness, and understandability. Thus, evaluation methods must address these shortcomings. Furthermore, user- and usage-oriented aspects should become a more prominent and integral component in evaluations, as the user population as well as the tasks these systems are used for become more heterogeneous. For this reason, the topic-centric view of relevance has to be extended to a broad range of facets which are important for the different usage scenarios. Therefore, suitable evaluation criteria have to be specified, which form the basis for defining appropriate measures. Most importantly, the range of evaluation methods must be revisited and extended, as popular methods like the Cranfield approach or crowdsourcing must be complemented by new evaluation methods and strategies specifically tailored to this new type of system.

Implementation and Applications of Artificial Intelligence,    Information & Knowledge Management, Big Data Computing

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Automated programming refers to techniques that suggest newly written code, e.g., in the form of code completion tools. Techniques for automated programming include large language models that predict code based on natural language specifications of the intended behavior. The recent development of technologies like Codex and ChatGPT have made us examine the possibility of automated programming in the future. Automated program repair refers to a suite of techniques for automated rectification of errors or vulnerabilities in programs. Automated program repair technologies were originally developed for reducing the debugging effort for manually written code. However, interestingly these techniques can be adapted to improve automatically generated code. This Dagstuhl Seminar will explore the intersection of these two fields.

Software Engineering,    Implementation and Applications of Artificial Intelligence

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Natural language processing (NLP) is transforming the way humans communicate with each other and with machines, with applications in multi-document summarization, machine translation, question answering, fact checking, decision support in health domains, or any applications which require making decisions that involve complex reasoning or entail combining different modalities (e.g., vision and text). The goal of the workshop, as well as of the entire program, is to facilitate collaboration among NLP researchers and to encourage closer interactions between the NLP and Machine Learning communities.